Job Description

Job Description

Job Description

We are seeking a highly skilled Senior Data Analyst to join our Financial Crimes / Anti-Money Laundering (AML) team. This is a contract role. The ideal candidate will have a strong technical background and extensive experience in the financial crimes and AML space. This role involves analyzing and interpreting transactions, accounts, customers, alerts, and third-party data using advanced statistical and analytical tools to identify potential suspicious patterns, anomalies, and risks. 

• Analyze and interpret transactions, accounts, customers, alerts, and third-party data using statistical and analytical tools to identify potential suspicious patterns, anomalies, and potential risks. 
• Utilize data analytics tools (e.g., SQL, Python, R, SAS) to support investigations teams and decision-making processes. 
• Design and implement financial crime detection models and scenarios. 
• Conduct root cause analyses on financial crime incidents to enhance detection and prevention strategies. 
• Translate data-driven forensic analyses into actionable insights for investigators, enabling effective and efficient investigations. 

• At least a bachelor's degree in data analytics or a related field. 
• Advanced degree in a related field (e.g., Data Engineering, Data Science, Statistics) preferred. 
• 3+ years of experience in the field. 
• Proven experience in the financial crimes / AML space. 
• Proficiency in Alteryx is strongly preferred.
• Proficiency in data analytics tools such as SQL, Python, R, and SAS. 
• Experience with Hadoop environment is a plus but not required.
• Strong understanding of AML/KYC regulations and practices. 
• Experience in designing and implementing financial crime detection models and scenarios. 
• Ability to conduct root cause analyses on financial crime incidents. 
• Excellent analytical and problem-solving skills. 
• Strong communication skills, with the ability to translate complex data into actionable insights. 
• Experience working in a major financial institution or consulting firm preferred. 

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